增加异常处理

ad-engine-service/src/main/java/com/tzld/piaoquan/ad/engine/service/score/strategy/RankStrategyBy683.java

@@ -17,9 +17,11 @@ import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.collections4.CollectionUtils;
 import org.apache.commons.collections4.MapUtils;
 import org.apache.commons.lang3.StringUtils;
+import org.apache.commons.math3.util.MathUtils;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.stereotype.Component;
 import org.xm.Similarity;
+import spire.math.Number;
 
 import javax.annotation.PostConstruct;
 import java.io.BufferedReader;
@@ -869,24 +871,29 @@ public class RankStrategyBy683 extends RankStrategyBasic {
     private Map<String, String> featureBucket(Map<String, String> featureMap) {
         Map<String, String> newFeatureMap = new ConcurrentHashMap<>(featureMap.size());
         for (Map.Entry<String, String> entry : featureMap.entrySet()) {
-            String name = entry.getKey();
-            if (this.sparseFeatureSet.contains(name)) {
-                if (entry.getValue() != null) {
-                    newFeatureMap.put(name, entry.getValue());
+            try {
+                String name = entry.getKey();
+                if (this.sparseFeatureSet.contains(name)) {
+                    if (entry.getValue() != null) {
+                        newFeatureMap.put(name, entry.getValue());
+                    }
+                    continue;
                 }
-                continue;
-            }
-            double score = Double.parseDouble(entry.getValue());
-            // 注意：0值、不在分桶文件中的特征，会被过滤掉。
-            if (score > 1E-8) {
-                if (this.bucketsMap.containsKey(name) && this.bucketsLen.containsKey(name)) {
-                    double[] buckets = this.bucketsMap.get(name);
-                    double bucketNum = this.bucketsLen.get(name);
-                    Double scoreNew = 1.0 / bucketNum * (ExtractorUtils.findInsertPosition(buckets, score) + 1.0);
-                    newFeatureMap.put(name, String.valueOf(scoreNew));
-                } else {
-                    newFeatureMap.put(name, String.valueOf(score));
+
+                double score = Double.parseDouble(entry.getValue());
+                // 注意：0值、不在分桶文件中的特征，会被过滤掉。
+                if (score > 1E-8) {
+                    if (this.bucketsMap.containsKey(name) && this.bucketsLen.containsKey(name)) {
+                        double[] buckets = this.bucketsMap.get(name);
+                        double bucketNum = this.bucketsLen.get(name);
+                        Double scoreNew = 1.0 / bucketNum * (ExtractorUtils.findInsertPosition(buckets, score) + 1.0);
+                        newFeatureMap.put(name, String.valueOf(scoreNew));
+                    } else {
+                        newFeatureMap.put(name, String.valueOf(score));
+                    }
                 }
+            } catch (Exception e) {
+                log.error("featureBucket error: ", e);
             }
         }
         return newFeatureMap;

ad-engine-service/src/main/java/com/tzld/piaoquan/ad/engine/service/score/strategy/RankStrategyBy688.java

@@ -879,24 +879,28 @@ public class RankStrategyBy688 extends RankStrategyBasic {
     private Map<String, String> featureBucket(Map<String, String> featureMap) {
         Map<String, String> newFeatureMap = new ConcurrentHashMap<>(featureMap.size());
         for (Map.Entry<String, String> entry : featureMap.entrySet()) {
-            String name = entry.getKey();
-            if (this.sparseFeatureSet.contains(name)) {
-                if (entry.getValue() != null) {
-                    newFeatureMap.put(name, entry.getValue());
+            try {
+                String name = entry.getKey();
+                if (this.sparseFeatureSet.contains(name)) {
+                    if (entry.getValue() != null) {
+                        newFeatureMap.put(name, entry.getValue());
+                    }
+                    continue;
                 }
-                continue;
-            }
-            double score = Double.parseDouble(entry.getValue());
-            // 注意：0值、不在分桶文件中的特征，会被过滤掉。
-            if (score > 1E-8) {
-                if (this.bucketsMap.containsKey(name) && this.bucketsLen.containsKey(name)) {
-                    double[] buckets = this.bucketsMap.get(name);
-                    double bucketNum = this.bucketsLen.get(name);
-                    Double scoreNew = 1.0 / bucketNum * (ExtractorUtils.findInsertPosition(buckets, score) + 1.0);
-                    newFeatureMap.put(name, String.valueOf(scoreNew));
-                } else {
-                    newFeatureMap.put(name, String.valueOf(score));
+                double score = Double.parseDouble(entry.getValue());
+                // 注意：0值、不在分桶文件中的特征，会被过滤掉。
+                if (score > 1E-8) {
+                    if (this.bucketsMap.containsKey(name) && this.bucketsLen.containsKey(name)) {
+                        double[] buckets = this.bucketsMap.get(name);
+                        double bucketNum = this.bucketsLen.get(name);
+                        Double scoreNew = 1.0 / bucketNum * (ExtractorUtils.findInsertPosition(buckets, score) + 1.0);
+                        newFeatureMap.put(name, String.valueOf(scoreNew));
+                    } else {
+                        newFeatureMap.put(name, String.valueOf(score));
+                    }
                 }
+            } catch (Exception e) {
+                log.error("featureBucket error: ", e);
             }
         }
         return newFeatureMap;